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Data Architect
Data ArchitectPurple Drive • Plano, TX, United States
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Data Architect

Data Architect

Purple Drive • Plano, TX, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
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Job Summary

We are seeking an experienced Data Architect with deep expertise in ETL/ELT design, Snowflake, and modern data architecture. The ideal candidate will have a strong background in data modeling, governance, and cloud-based data platforms, with the ability to standardize and streamline data engineering practices across teams. This role requires close collaboration with data engineers, analysts, and business stakeholders to design scalable, secure, and high-performing data solutions.

Key Responsibilities

  • Design and implement scalable data architectures supporting analytical and operational use cases across cloud platforms such as Snowflake, BigQuery, or Redshift.
  • Develop and optimize ETL/ELT pipelines for ingestion, transformation, and integration of large-scale structured and unstructured datasets.
  • Define data modeling standards, governance policies, and architecture frameworks to ensure consistency, quality, and compliance.
  • Collaborate with cross-functional teams to align data structures and implement data lineage, metadata management, and security frameworks.
  • Establish best practices for data storage, performance optimization, and cost management in cloud environments.
  • Partner with analytics and engineering teams to support data warehouse and lakehouse initiatives.
  • Document architecture decisions, standards, and integration patterns for reusability and knowledge sharing.
  • Participate in data platform modernization initiatives, contributing to the adoption of data mesh, lakehouse, and modern data stack principles.
  • Provide technical leadership and mentorship to data engineering teams, driving standardization and automation.
Required Skills & Experience
  • 7-10 years of experience in data architecture, data engineering, or BI architecture roles.
  • Proven hands-on experience with Snowflake (schema design, performance tuning, compute optimization, and cost governance).
  • Expertise in ETL/ELT tools and workflow orchestration (e.g., Airflow, dbt, Glue, Informatica, Matillion).
  • Strong understanding of data modeling, warehousing concepts, and dimensional design (Star/Snowflake schema).
  • Knowledge of data governance, lineage, security, and compliance frameworks.
  • Experience with Python, SQL, or Spark for data transformation and pipeline development.
  • Familiarity with modern data architectures such as data mesh, lakehouse, or data fabric.
  • Excellent documentation, communication, and stakeholder alignment skills.
  • Ability to work collaboratively with engineering, analytics, and business teams in an Agile environment.
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